Evidence map›Paper›PMID 28454412›Full record

ArticleOncology letters2017

Comparison of the seleno-transcriptome expression between human non-cancerous mammary epithelial cells and two human breast cancer cell lines.

Fabiola Rusolo, Francesca Capone, Raffaella Pasquale, Antonella Angiolillo, Giovanni Colonna, Giuseppe Castello, Maria Costantini, Susan Costantini

Registry-linked trialOpen access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05817227 (Selenoproteins as Prognostic Markers and Therapeutic Targets in Breast Cancer.), which is not on this map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT05817227 recruitingnot on this mapstarted 2022, after this paper: background citation

Selenoproteins as Prognostic Markers and Therapeutic Targets in Breast Cancer.

TypeobservationalSponsorNational Cancer Institute, NaplesRan2022 to 2027Enrolled300ConditionsBreast Cancer
3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
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  3. Review
  4. Review
  5. Article
  6. Glutathione-Dependent Pathways in Cancer Cells.International journal of molecular sciences · 2024
    Review
  7. Antioxidant Enzymes and Their Potential Use in Breast Cancer Treatment.International journal of molecular sciences · 2024
    Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Glutathione peroxidase family and survival prognosis in patients with renal cell carcinoma.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Targeting ferroptosis in breast cancer.Biomarker research · 2020
    Review
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Fabiola RusoloOncology Research Center of Mercogliano, National Cancer Institute 'G. Pascale Foundation', IRCCS, I-80131 Naples, Italy.
Francesca CaponeOncology Research Center of Mercogliano, National Cancer Institute 'G. Pascale Foundation', IRCCS, I-80131 Naples, Italy.
Raffaella PasqualeOncology Research Center of Mercogliano, National Cancer Institute 'G. Pascale Foundation', IRCCS, I-80131 Naples, Italy.
Antonella AngiolilloDepartment of Medicine and Health Sciences, University of Molise, I-86100 Campobasso, Italy.
Giovanni ColonnaMedical Informatics Service, University Hospital, Second University of Naples, I-80131 Naples, Italy.
Giuseppe CastelloOncology Research Center of Mercogliano, National Cancer Institute 'G. Pascale Foundation', IRCCS, I-80131 Naples, Italy.
Maria CostantiniDepartment of Biology and Evolution of Marine Organisms, Anton Dohrn Zoological Station, I-80121 Naples, Italy.
Susan CostantiniOncology Research Center of Mercogliano, National Cancer Institute 'G. Pascale Foundation', IRCCS, I-80131 Naples, Italy.
Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale" · ITStazione Zoologica Anton Dohrn · ITUniversity of Campania "Luigi Vanvitelli" · ITUniversity of Molise · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is the second most common cause of mortality in women; therefore, the identification of novel putative markers is required to improve its diagnosis and prognosis. Selenium is known to protect mammary epithelial cells from oxidative DNA damage, and to inhibit the initiation phase of carcinogenesis by stimulating DNA repair and apoptosis regulation. Consequently, the present study has focused attention on the selenoprotein family and their involvement in breast cancer. The present study performed a global analysis of the seleno-transcriptome expression in human breast cancer MCF-7 and MDA-MB231 cell lines compared with healthy breast MCF-10A cells using reverse transcription-quantitative polymerase chain reaction. The present data revealed the presence of differently expressed genes in MCF-7 and MDA-MB231 cells compared with MCF-10A cells: Four downregulated [glutathione peroxidase (GPX)1, GPX4, GPX5 and GPX7] and three upregulated (deiodinase iodothyronine, type II, GPX2 and GPX3) genes. Additionally, interactomic investigation were performed by the present study to evaluate the association between the downregulated and upregulated genes, and to identify putative HUB nodes, which represent the centers of association between the genes that are capable of direct control over the gene networks. Network analysis revealed that all differentially regulated genes, with the exception of selenoprotein T, are implicated in the same network that presents three HUB nodes interconnected to the selenoprotein mRNAs, including TP53, estrogen receptor 1 and catenin-β1 (CTNNB1). Overall, these data demonstrated for the first time, a profile of seleno-mRNAs specific for human breast cells, indicating that these genes alter their expression on the basis of the ER-positivity or negativity of breast cancer cells.

Indexed as

breast cancerHUB genesnetwork analysisRT-qPCRseleno-transcriptome

Identifiers

PMID28454412
PMCPMC5403638
OpenAlexW2588641596

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.